A new approach in application and design of toroidal axial-flux permanent magnet open-slotted NN type (TAFPMOS-NN) motor

Hüner, Engin; Aküner, Mustafa Caner; Demir, Uğur

doi:10.17559/tv-20140704100736

Cited by 4 publications

(2 citation statements)

References 13 publications

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“…The geometric structures of electric motors consist of basic elements such as the rotor, stator, winding structures, permanent magnet, rotor-stator groove geometries, core materials and shaft. Basically, electric motors have mechanical and electromagnetic design constraints [7]. In this case, designers are encouraged to perform objective function optimization, that is, efficiency maximization, usually with geometric optimization.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Design Optimization for Traction and Steering Motors of an Autonomous Electric Shuttle under Driving Scenarios

Demir,

Ehsani,

Demir

et al. 2024

Electronics

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Electrified autonomous vehicles have become quite popular and have a wide range of applications. The traction and steering motors to be used on an electrified autonomous vehicle are designed considering the lateral and longitudinal forces in the environment where the vehicle operates, and they are selected with extra safety margins and “over-engineering” features. This causes wastage of rare earth elements, along with both cost and energy inefficiencies. For autonomous shuttle vehicles, traction and steering performances can be analyzed based on driving scenarios. The reference speed and steering signals for the selected driving scenarios were run on a dynamic vehicle model and the minimum performance requirements for the traction and steering motors were determined. Then, the determined design parameters by DoE (Design of Experiments) were trained in two different ANN (Artificial Neural Networks) models created for motor models. The trained ANN models were run according to the minimum performance criteria and predicted motor models with new design parameters for the traction and steering motors. The performance results of the predicted traction and steering motor models showed a significant improvement in terms of the minimum performance requirements.

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Section: Introductionmentioning

confidence: 99%

Intelligent Design Optimization for Traction and Steering Motors of an Autonomous Electric Shuttle under Driving Scenarios

Demir,

Ehsani,

Demir

et al. 2024

Electronics

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“…With the technological progress of the last decade, the concept of electric cars has been again adopted. Great progress is being made in this domain [8][9]. In fact, an improvement in the electrical and magnetic performances of electric vehicles shows that these vehicles can substitute combustion vehicles [10][11].…”

Section: Introductionmentioning

confidence: 99%

Optimal Design and Cogging Torque Minimization of a Permanent Magnet Motor for an Electric Vehicle

2023

Teh. vjesn.

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With the increase of electric vehicle mobility, the integration of an electric motor inside the vehicle wheel is an interesting architecture for electric vehicles. This solution has the advantage of a great compactness of the motor and the elimination of mechanical transmission. This paper deals with the analytical modeling and the optimal dimension's finding of an in-wheel motor. An optimization procedure, based on Sequential Quadratic Programming SQP, is performed. The main objectives are the minimization of the machine weight and the maximization of its efficiency. While respecting constraints, an optimal machine with a weight of 11.61 kg and an efficiency of 93% is reached. To verify the satisfaction of the design requirements and the motor performances, finite element analysis (FEA), was applied. The comparison of induction results shows a good accuracy with a maximum error of 14%. The output torque and the air gap flux density are assessed. A maximum output torque of 90 Nm is achieved, and the slotting effect is noticed. Then the cogging torque of the machine is investigated; different rotor structures were studied. It is concluded, from results, that the topology with circular segmented magnets has the lowest cogging torque which does not exceed 7 Nm.

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Design and optimization of an electromechanical actuator for the latch of a foldable vehicle seat

Kocabiçak

Demir

2020

Materials Testing

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This paper deals with the electromechanical actuator (EAct) design for a seat latch while maintaining required force and displacement according to the boundary conditions and design criteria for the finite element method (FEM) in an Ansys Maxwell environment. Before presenting the analysis studies, some EAct models are parameterized according to the Taguchi’s design of experiment (DoE) method. After that, analysis results are evaluated to define the critical model parameters of the EAct according to the DoE method. Furthermore, the DoE results and design parameters of the EAct are trained in some cases by an artificial neural network (ANN). The dynamic behavior of the models from the ANN and DoE results are analyzed and the results obtained are compared. Finally, the optimal EAct model is defined taking into account design criteria.

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A new approach in application and design of toroidal axial-flux permanent magnet open-slotted NN type (TAFPMOS-NN) motor

Cited by 4 publications

References 13 publications

Intelligent Design Optimization for Traction and Steering Motors of an Autonomous Electric Shuttle under Driving Scenarios

Intelligent Design Optimization for Traction and Steering Motors of an Autonomous Electric Shuttle under Driving Scenarios

Optimal Design and Cogging Torque Minimization of a Permanent Magnet Motor for an Electric Vehicle

Design and optimization of an electromechanical actuator for the latch of a foldable vehicle seat

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